METHODS: This study used data from the 2015 National Health and Morbidity Survey (NHMS), a nationwide cross-sectional survey that implemented a two-stage stratified random sampling design. Respondents aged 18 years and above (n = 17,261) were included in the analysis. The short version of International Physical Activity Questionnaire (IPAQ) was administered to assess the respondents' PA levels. The respondents' height and weight were objectively measured and body mass index (BMI) was calculated. The respondents were categorized according to BMI as either normal-weight (18.5-24.9 kg/m2) or overweight/obese (≥ 25 kg/m2). Descriptive and complex sample logistic regression analyses were employed as appropriate.
RESULTS: Overall, approximately 1 in 2 respondents (51.2%) were overweight/obese, even though the majority (69.0%) reporting at least a moderate level of PA (total PA ≥ 10 MET-hours/week). In both normal-weight and overweight/obese groups, a significantly higher prevalence of high PA (total PA ≥ 50 MET-hours/week) was observed among men than women (p
METHODS: We used secondary data from the National Health and Morbidity Survey 2022. It is a cross-sectional study with a multistage stratified cluster sampling study design including 32,290 students aged 13 to 17 years old. It utilized the self-administered questionnaire from the validated Malaysian Global School-based Health Survey (GSHS). The associations between the truancy and its associated factors were examined using multivariate logistic regression, a complex sample analysis with sampling weightage.
RESULTS: The prevalence of truancy was 25.6% (95% CI=24.25, 26.98). In the multivariate analysis, truancy was significantly associated with older age groups (P<0.001), adolescents with separated/ divorced/ widowed parents (P<0.001), those with current any tobacco product use (P<0.001), those with ever drug use (P<0.001), those who have been physically attacked (P<0.001) and being bullied (P<0.001).
CONCLUSION: Gender, age, parent marital status, and adolescents with risk behavior were associated with truancy. This information may provide evidence for the implementation of effective prevention and intervention strategies to reduce truancy among these school-going adolescents.